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AI hardware guide
What the different classes of AI hardware are, and which problems each one exists to solve.
Accelerators
The processor doing the AI maths. Sold as desktop cards, workstation cards or server modules that cannot go in a desktop.
Workstations
A complete deskside system, built and tested around one or two accelerators.
GPU servers
Rack or tower systems holding several accelerators, shared across a team or an application.
Integrated systems
Compute, networking, storage and software delivered and supported as one platform.
Clusters
Multiple servers connected by a dedicated fabric for distributed work.
Rented compute
Any of the above, accessed without owning the hardware.